PyTorch Implementation of Physics-informed Neural Networks
☆725May 20, 2024Updated 2 years ago
Alternatives and similar repositories for PINNs
Users that are interested in PINNs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆382Jul 5, 2024Updated 2 years ago
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆6,187Feb 11, 2026Updated 7 months ago
- Investigating PINNs☆784Aug 13, 2021Updated 5 years ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,551Dec 8, 2023Updated 2 years ago
- Physics-informed neural networks package☆348Jul 20, 2022Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆959Feb 8, 2026Updated 8 months ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆301Oct 12, 2021Updated 4 years ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆688Sep 12, 2026Updated 3 weeks ago
- Physics-informed neural network for solving fluid dynamics problems☆293Jan 28, 2021Updated 5 years ago
- A library for scientific machine learning and physics-informed learning☆4,459Aug 18, 2026Updated last month
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆212Apr 7, 2024Updated 2 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆114Apr 15, 2022Updated 4 years ago
- [NeurIPS 2024] Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆453Jul 24, 2026Updated 2 months ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆271Feb 1, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Physics Informed Neural Network (PINN) for the wave equation.☆213Jul 16, 2020Updated 6 years ago
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆267Nov 30, 2023Updated 2 years ago
- ☆431Dec 3, 2022Updated 3 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆576May 29, 2026Updated 4 months ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆165Jul 16, 2020Updated 6 years ago
- Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators☆849Jun 25, 2022Updated 4 years ago
- Physics-Informed Neural networks for Advanced modeling☆798Updated this week
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆790Apr 22, 2026Updated 5 months ago
- ☆555Apr 1, 2025Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆169May 15, 2024Updated 2 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆29May 8, 2023Updated 3 years ago
- Basic implementation of physics-informed neural network with pytorch.☆104Sep 26, 2022Updated 4 years ago
- Deep learning library for solving differential equations on top of PyTorch.☆63Jul 30, 2020Updated 6 years ago
- ☆274Oct 14, 2021Updated 4 years ago
- PINN program for computational mechanics☆152Apr 1, 2024Updated 2 years ago
- ☆1,125Sep 13, 2026Updated 3 weeks ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆398Jul 14, 2023Updated 3 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆251Oct 21, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆221Feb 16, 2024Updated 2 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆44Jun 24, 2022Updated 4 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆146Oct 24, 2025Updated 11 months ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,211Mar 30, 2026Updated 6 months ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆107Oct 24, 2022Updated 3 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆368Dec 20, 2023Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆91Jan 24, 2021Updated 5 years ago